Cloudera is looking for a Senior Engineering Manager with a strong technical background to help ... Employee Resource Groups EEO/VEVRAA #LI-REMOTE #LI-BV1
Cloudera is looking for a Senior Engineering Manager with a strong technical background to help ... Employee Resource Groups EEO/VEVRAA #LI-REMOTE #LI-BV1
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Serve as the primary client relationship manager for key accounts in a fully remote environment * Oversee tax planning, compliance, and review processes while ensuring accuracy and timeliness
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Serve as the primary client relationship manager for key accounts in a fully remote environment * Oversee tax planning, compliance, and review processes while ensuring accuracy and timeliness
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Remote Senior Engineering Manager information
See Texas salary details
$59.2K - $70.6K
17% of jobs
$70.6K - $81.9K
1% of jobs
$81.9K - $93.3K
2% of jobs
$93.3K - $104.7K
4% of jobs
$105.6K is the 25th percentile. Wages below this are outliers.
$104.7K - $116.1K
11% of jobs
$116.1K - $127.5K
15% of jobs
The median wage is $127.9K / yr.
$127.5K - $138.9K
16% of jobs
$147K is the 75th percentile. Wages above this are outliers.
$138.9K - $150.3K
14% of jobs
$150.3K - $161.7K
8% of jobs
$161.7K - $173.1K
7% of jobs
$173.1K - $184.5K
5% of jobs
$59.2K
$126.8K
$184.5K
How much do remote senior engineering manager jobs pay per year?
What is a Remote Senior Engineering Manager job?
A Remote Senior Engineering Manager leads and oversees engineering teams while working remotely. They are responsible for mentoring engineers, ensuring project timelines, and aligning technical goals with business objectives. This role requires strong leadership, communication, and technical expertise to manage distributed teams effectively. Additionally, they collaborate with stakeholders, improve development processes, and drive innovation in engineering projects.
What are the key skills and qualifications needed to thrive in the Remote Senior Engineering Manager position, and why are they important?
To thrive as a Remote Senior Engineering Manager, you need extensive experience in software engineering, team leadership, and project management, often backed by a relevant degree and a proven track record in technical roles. Familiarity with agile methodologies, collaboration tools like Jira or Asana, cloud platforms (such as AWS or Azure), and potentially certifications in project management or cloud technologies are highly valuable. Exceptional communication skills, emotional intelligence, and the ability to mentor and motivate distributed teams help professionals excel in this position. These competencies enable effective leadership, seamless remote collaboration, and the successful delivery of complex engineering projects.
What are some typical challenges faced by Remote Senior Engineering Managers, and how can they be addressed?
Remote Senior Engineering Managers often face challenges related to leading distributed teams, such as managing time zone differences, maintaining team cohesion, and ensuring clear communication across channels. To overcome these hurdles, strong organizational skills, regular virtual meetings, and effective use of collaboration tools are essential. It's also important to foster a supportive team culture, provide timely feedback, and ensure that project milestones are clearly understood by all team members. By proactively addressing these challenges, managers can maintain productivity and morale while driving successful project outcomes.

Full-time
PTO
Posted 13 days ago
Job description
Business Area:
EngineeringSeniority Level:
Mid-Senior levelJob Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.
At Cloudera, our Data Services Pillar is the heart of data innovation. We don't just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI.
Cloudera is looking for a Senior Engineering Manager with a strong technical background to help manage the team(s) located in Santa Clara, California or in North America to help drive the development of Cloudera's next-generation AI and machine learning platform. You will be responsible for managing a team that will design, build, and deliver a platform that not only accelerates machine learning & AI from exploration to production but also enables enterprises to create & deploy Generative AI applications using foundation models with enterprise data at scale.
We look for "The Startup Spark", a desire to create new things, dive in wherever there's a need, eagerness to make an impact as an individual and the willingness to learn new things. You must be self-motivated, innovative, and proactive. The role offers significant opportunities for growth.
Read about the Forrester Wave Report on Cloudera's Machine Learning offerings here.
As a Senior Engineering Manager you will:
As a Senior Engineering Manager you would be responsible for working with Product Managers to define what capabilities should be built in the product
You will have to work with Product Managers to understand customer use cases and help them use our products effectively
You will be responsible for the growth of your reports
You should be able to fill in, to address gaps in process / practices followed by the team / organization
As a leader you should be able to lead by example
We are excited if you have (Required Experience):
10+ years of experience in building enterprise software and 4+ years of management experience
Bsc/Msc in related field or equivalent experience
Experience building enterprise AI infrastructure and deploying production generative AI applications & agents leveraging open source foundation models, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), and/or Generative AI frameworks (LangChain, Guidance, etc.)
Strong written and oral communication skills
Good understanding of Engineering best practices
Experience with containerization frameworks like Kubernetes, Docker
Strong Understanding of Distributed Systems and building systems at scale
Should be able to drive the architecture/design and provide technical direction & guidance to the team
Self-driven and motivated, with a strong sense of ownership and craftsmanship
You may also have:
Experience with data science and machine learning tools (R, Python, Tensorflow, Spark, mlflow etc.)
Experience with AI/ML orchestration software (Kubeflow, KServe, Knative)
Experience with cloud technologies (AWS, GCE, Azure)
Experience using Big Data technologies like Spark, Hive etc
Why this role matters:
This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You'll work with cutting-edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value in their data.
We believe in the power of open source. You'll collaborate with project committers, contributing upstream to keep technologies like Apache Hive and Impala evolving. You'll harden these engines for rock-solid security, optimize them for peak performance, and make them effortlessly run across all environments. Join us and help build the trusted, cloud-native platform that powers insights for the most data-intensive companies on the planet.
This role is not eligible for immigration sponsorship
What you can expect from us:
Generous PTO Policy
Support work life balance with Unplugged Days
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Paid Volunteer Time
Employee Resource Groups
EEO/VEVRAA
#LI-REMOTE
#LI-BV1
About Cloudera
Sourced by ZipRecruiter
Industry
Software development
Company size
1,001 - 5,000 Employees
Headquarters location
Santa Clara, CA, US
Year founded
2008